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Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,756개의 결과
Large Language Models as Financial Data Annotators: A Study on Effectiveness and Efficiency
Toyin Aguda, Suchetha Siddagangappa 외 5명
arXiv (Cornell University)
|
2024
|
3 회 인용
Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends
Yuntao Wang, Yanghe Pan 외 7명
arXiv (Cornell University)
|
2024
|
3 회 인용
Learning Alternative Name Spellings
Jeffrey Sukharev, Leonid Zhukov 외 1명
arXiv (Cornell University)
|
2014
|
3 회 인용
Learning and Selfconfirming Equilibria in Network Games
Pierpaolo Battigalli, Fabrizio Panebianco 외 1명
arXiv (Cornell University)
|
2018
|
3 회 인용
Learning Infinite-Layer Networks: Without the Kernel Trick
Roi Livni, Daniel Carmon 외 1명
arXiv (Cornell University)
|
2016
|
3 회 인용
Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive Clinical Trials
Hossein Aboutalebi, Doina Precup 외 1명
arXiv (Cornell University)
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2019
|
3 회 인용
Learning Reserve Prices in Second-Price Auctions
Yaonan Jin, Pinyan Lu 외 1명
arXiv (Cornell University)
|
2019
|
3 회 인용
Learning Sparse Polymatrix Games in Polynomial Time and Sample Complexity
Asish Ghoshal, Jean Honorio
arXiv (Cornell University)
|
2017
|
3 회 인용
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.
Weixun Wang, Junqi Jin 외 9명
arXiv (Cornell University)
|
2018
|
3 회 인용
Learning to be Homo Economicus: Can an LLM Learn Preferences from Choice
Jeongbin Kim, Matthew Kovach 외 3명
arXiv (Cornell University)
|
2024
|
3 회 인용
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